What Job Requirements Really Signal: Reading the Skill Counts

The requirements section is mostly noise

Across the 598 postings we track, carrying skills and categories derived from their text, a handful of requirements show up so often that they function less as filters and more as table stakes. Python appears in 138 postings, Sales Enablement in 115, Product Management in 112, and Outbound Prospecting in 104. When a skill sits above the 100-posting mark, it is not distinguishing one candidate from another — it is simply describing the baseline expectation for a large swath of the catalogue.

This matters for how a candidate should read a posting. If a requirements section leads with Python or SQL (78 postings), treat it as a filter against people who lack the basics entirely, not as a meaningful differentiator among qualified applicants. The real signal is buried further down the list.

Where the field actually narrows

Compare that to skills clustering in the 15-30 posting range: GPU Programming (17), Signal Integrity (16), Retrieval-Augmented Generation (28), Apache Airflow (25), Terraform (22), dbt (22). These appear in a small enough slice of the 598 postings that listing one in a requirements section genuinely narrows the applicant pool. A posting asking for GPU Programming is filtering far harder than one asking for Python, even though both look like ordinary bullet points to a candidate skimming quickly.

The same logic applies to Kotlin (21), Ruby (19), and C++ (23) — mid-tier language requirements that separate generalist roles from specialist ones. A posting demanding Kotlin specifically, rather than "a modern language," is telling the candidate something real about the tech stack, because only 21 of 598 postings make that ask.

The category context matters too

Skill counts only make sense next to category counts. Machine Learning appears in 103 postings, which sounds like boilerplate until you notice that Data & AI as a category holds 116 postings and ML Engineering & Infrastructure another 43. In that context, Machine Learning isn't a narrowing requirement inside those categories — it's the category's own definition restated as a skill. The same skill would be a hard filter if it showed up in a Sales posting (159 postings) or an Operations posting (45), where it almost never does.

This is the practical test: a requirement only tells you something when its posting count is small relative to the category it sits in. Large Language Models at 73 postings looks mid-tier in isolation, but set against Data & AI's 116 postings, it is present in the majority of that category — again, closer to boilerplate than to a filter.

Salary silence is its own signal

Of the 598 postings, only 11 state a salary range at all. That means the requirements section is doing double duty: in the near-total absence of pay information, it is the main lever employers use to signal seniority and scope. A posting stacking Distributed Systems (80), Kubernetes (59), and Observability & Monitoring (70) together is describing a senior infrastructure role even without a title change, because that combination narrows the field far more than any one skill alone.

A short checklist for reading a posting

• Treat any skill above roughly 100 postings (Python, Sales Enablement, Product Management, Outbound Prospecting, Machine Learning) as baseline, not differentiator.
• Weight skills in the 15-30 posting range (GPU Programming, Signal Integrity, Terraform, dbt, Apache Airflow) as genuine filters — few employers ask, so asking means something.
• Check a skill's count against its category's total. A skill near-universal within its own category tells you little; a skill rare within its category tells you a lot.
• Read a cluster of mid-tier skills together, not individually — combinations narrow the field faster than any single requirement, especially where salary data (present in only 11 of 598 postings) offers no other clue to seniority.

None of this requires guessing at intent. The counts across 598 postings and 20 employers, from Neo Financial's 94 open roles down to Rewind's 2, already show which requirements are doing real filtering work and which are simply restating the job's category.